Research & Development Research Publications Assessment of Antimicrobial Activity of Lichenic Compounds Isolated from Menegazzia terebrata (Hoffm.) A. Massal Lichen as potential armamentarium against the SARS CoV-2 (COVID-19) In-silico Designing and Evaluation of gRNA for the CRISPR/Cas9 system against the Genes associated with Tuberculosis Patents Machine learning based approach to analyze the traits of dna for forensic investigation Machine learning based approach to study and analyse the antibacterial effects of silver nanoparticles for healing dental issues Heart abnormalities prediction model using machine learning Machine learning based approach to study and analyse biomedical interventions in the precision medicine for tuberculosis Design and synthesized of novel anti inflammatory and antioxidant Biomedical interventions for analysing the proteins and genetic factors that are responsible for causing cancer Machine learning based approach to analyze and predict the condition of heart and its veins continuously to avoid heart failures Artificial intelligence based technique to analyze the genome sequence of cancer patients and predict their life expectancy based on cell biology A method of detecting the effectiveness of phytocompounds on mycobacterium tuberculosis Our Process We bring science and innovation together Clinical Development Regulatory & Access Biotech Functional Service